Learn Qgis: Techniques for Efficient Spatial Analysis
Eugenia Sarafova; Ivan Ivanov; Andrew Cutts; Anita Graser
Synopsis "Learn Qgis: Techniques for Efficient Spatial Analysis"
Gain a deep understanding of QGIS, the world's most popular free and open-source GIS tool for spatial analysis and mappingKey Features: - Find out how to effectively use QGIS by exploring its features in depth- Practice real-world scenarios for spatial data extraction, analysis, and mapping- Explore cutting-edge topics in the geospatial industry, such as machine learning and artificial intelligence- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Spatial data is everywhere, requiring professionals from various fields to capture, visualize, and analyze spatial datasets from a myriad of sources. In this fifth edition of Learn QGIS, the authors draw from their vast experience in geospatial technologies to guide you through the most essential data editing, mapping, and analysis tools available in the world's most popular free and open-source geographic information system (GIS) software.This updated edition incorporates the latest advancements in QGIS, comprehensively guiding you through creating, visualizing, and analyzing spatial datasets. Starting with data creation and editing, the book explores map projections, spatial data sources, and visualization techniques. You'll develop expertise in cartographic principles, conduct spatial analysis for environmental and socioeconomic applications, and work with Earth Observation data from Copernicus and NASA.The addition of new topics such as field data collection, data security, and ethical considerations ensures that you stay ahead of modern GIS challenges. The book also introduces AI in GIS, enabling you to leverage machine learning for geospatial data science tasks.By the end of this QGIS book, you'll have become proficient in geospatial analysis using QGIS and Python.What You Will Learn: - Grasp the core concepts of spatial data importing, managing, and analysis- Access geospatial data sources from public organizations- Find out how to handle different map projections and regulations- Get to grips with the basics of map design and common map types- Understand spatial data analysis and problem solving through using real-world scenarios- Capture, download, and analyze Earth Observation data- Build mobile projects for data collection on the go- Integrate the power of AI and ML, and learn the ethical aspects of their use in GISWho this book is for: This fully updated edition is for GIS professionals, developers, researchers, and students in environmental management, urban studies, transportation, and spatial planning. Educators can integrate step-by-step exercises into their technical training as this book provides a hands-on approach to spatial data collection, management, and analysis, incorporating new QGIS capabilities.Table of Contents- Where Do I Start?- Data Creation and Editing- Spatial Data Sources- Understanding Coordinates and Map Projections- Visualizing Data- Creating Great Maps- Common Map Types- Spatial Analysis - Environmental Applications- Spatial Analysis - Socioeconomic Applications- Extending QGIS with Python- Earth Observation Data Analysis- Field Data Collection- Data Security and Ethical Considerations- AI in QGIS
